Triple
T770140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Muir |
E16262
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Wanda Muir
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
|
E232642
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wanda Muir | Statement: [John Muir, child, Wanda Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanda Muir Context triple: [John Muir, child, Wanda Muir]
-
A.
Wanda Ventham
Wanda Ventham is an English actress known for her extensive work in British television and film, and as the mother of actor Benedict Cumberbatch.
-
B.
Dorothy Revier
Dorothy Revier was an American silent and early sound film actress known for her roles in adventure and drama films of the 1920s and 1930s.
-
C.
Mary Lee Ware
Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
-
D.
Frieda Hughes
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
-
E.
Evelyn Wade
Evelyn Wade was the wife of British mathematician and philosopher Alfred North Whitehead, known primarily in relation to his personal and intellectual life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wanda Muir Triple: [John Muir, child, Wanda Muir]
Generated description
Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanda Muir Target entity description: Wanda Muir was the daughter of naturalist and conservationist John Muir, known primarily for her connection to his legacy.
-
A.
Wanda Ventham
Wanda Ventham is an English actress known for her extensive work in British television and film, and as the mother of actor Benedict Cumberbatch.
-
B.
Dorothy Revier
Dorothy Revier was an American silent and early sound film actress known for her roles in adventure and drama films of the 1920s and 1930s.
-
C.
Mary Lee Ware
Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
-
D.
Frieda Hughes
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
-
E.
Evelyn Wade
Evelyn Wade was the wife of British mathematician and philosopher Alfred North Whitehead, known primarily in relation to his personal and intellectual life.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a70376988190be2826259f5281ab |
completed | March 1, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26c4077081908dbf36ed274afa58 |
completed | March 9, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_69ae2763b4b08190b733e8342a52f75e |
completed | March 9, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae27d10bf08190a14fa1ca906646f8 |
completed | March 9, 2026, 1:52 a.m. |
Created at: March 1, 2026, 7:37 p.m.